This study provides an overview of PTGER1 expression across multiple cancers; however, it is purely an in-silico design and does not include experimental evidence to support the computational results based on publicly available datasets and bioinformatics platforms, including UALCAN, GEPIA, and TIMER, which may introduce analytical variations and potential biases. Heterogeneity of platforms, batch effects, and inconsistent sample sizes across datasets could also influence the results. This evidence concerns the gene PTGER1 and cancer.